DBMS > Apache Phoenix vs. Atos Standard Common Repository vs. Postgres-XL vs. Sadas Engine

System Properties Comparison Apache Phoenix vs. Atos Standard Common Repository vs. Postgres-XL vs. Sadas Engine

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Editorial information provided by DB-Engines
Name	Apache Phoenix  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Postgres-XL  Xexclude from comparison	Sadas Engine  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	A scale-out RDBMS with evolutionary schema built on Apache HBase	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database model	Relational DBMS	Document store Key-value store	Relational DBMS	Relational DBMS
Secondary database models			Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.06 Rank #123   Overall #58   Relational DBMS		Score 0.53 Rank #254   Overall #117   Relational DBMS	Score 0.07 Rank #373   Overall #157   Relational DBMS
Website	phoenix.apache.org	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.postgres-xl.org	www.sadasengine.com
Technical documentation	phoenix.apache.org		www.postgres-xl.org/­documentation	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
Developer	Apache Software Foundation	Atos Convergence Creators		SADAS s.r.l.
Initial release	2014	2016	2014 since 2012, originally named StormDB	2006
Current release	5.0-HBase2, July 2018 and 4.15-HBase1, December 2019	1703	10 R1, October 2018	8.0
License Commercial or Open Source	Open Source Apache Version 2.0	commercial	Open Source Mozilla public license	commercial free trial version available
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java	C	C++
Server operating systems	Linux Unix Windows	Linux	Linux macOS	AIX Linux Windows
Data scheme	yes late-bound, schema-on-read capabilities	Schema and schema-less with LDAP views	yes	yes
Typing predefined data types such as float or date	yes	optional	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	yes	yes XML type, but no XML query functionality	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	yes	no	yes distributed, parallel query execution	yes
APIs and other access methods	JDBC	LDAP	ADO.NET JDBC native C library ODBC streaming API for large objects	JDBC ODBC Proprietary protocol
Supported programming languages	C C# C++ Go Groovy Java PHP Python Scala	All languages with LDAP bindings	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	.Net C C# C++ Groovy Java PHP Python
Server-side scripts Stored procedures	user defined functions	no	user defined functions	no
Triggers	no	yes	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding cell division	horizontal partitioning	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication Source-replica replication	yes		none
MapReduce Offers an API for user-defined Map/Reduce methods	Hadoop integration		no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	ACID MVCC
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	no	yes managed by 'Learn by Usage'
User concepts Access control	Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancy	LDAP bind authentication	fine grained access rights according to SQL-standard	Access rights for users, groups and roles according to SQL-standard
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More resources
	Apache Phoenix	Atos Standard Common Repository	Postgres-XL	Sadas Engine
DB-Engines blog posts	Cloudera's HBase PaaS offering now supports Complex Transactions 11 August 2021,  Krishna Maheshwari (sponsor)  show all
Recent citations in the news	Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services 2 June 2016, AWS Blog Azure #HDInsight Apache Phoenix now supports Zeppelin 16 August 2018, Microsoft Bridge the SQL-NoSQL gap with Apache Phoenix 4 February 2016, InfoWorld Apache Calcite, FreeMarker, Gora, Phoenix, and Solr updated 27 March 2017, SDTimes.com Azure HDInsight Analytics Platform Now Supports Apache Hadoop 3.0 18 April 2019, eWeek provided by Google News

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